data scientist

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senior ai engineer

ad scientist

Remington Pharmaceutical Industries (Pvt.) Ltd.

AD ScientsitEducationBS hons. (Chemistry)ExperienceFresh- 06 monthsRequisites for the Role<ul><li>Strong Communication Skills</li><li>Analytical Thinking</li><li>Team Work</li><li>Diligence</li><li>Time Management</li></ul>Roles and Responsibilities<ul><li>Analysis on HPLC, Dissolution and on other instruments.</li><li>Analysis of Intermediate &amp; finished products.</li><li>Calibration and qualification of Instruments and glass wares.</li><li>Literature review reports.</li><li>Analytical method validation.</li><li>Prepare URS of new equipment to be procured.</li><li>Analysis of bulk and finish products.</li><li>Stability study analysis on specified time points.</li></ul>LocationMultan Road, LahoreJob Type: Full-timePay: Rs45,000.00 - Rs50,000.00 per monthApplication Deadline: 15/10/2025

AD Scientist

Walee Technologies

Job Description: Data ScientistPosition Title: Data ScientistLocation: IslamabadExperience Required: Minimum 3 yearsEmployment Type: Full-TimeRole OverviewWe are seeking a skilled and mission-driven Data Scientist with at least 3 years of experience to join our team. The ideal candidate will lead the development, deployment, and monitoring of predictive credit scoring models while supporting critical analytics and decision systems across our lending product.Core ResponsibilitiesModel Monitoring &amp; Optimization:Continuously monitor deployed models, detect data drift, and retrain models to maintain accuracy, fairness, and stability.Dashboard Ownership:Design and maintain dashboards for loan performance, user behavior, and model health with regular updates and intuitive visualizations.Data Pipeline &amp; Quality Oversight:Collaborate with engineering and product teams to ensure reliable and clean data flow. Validate inputs and troubleshoot anomalies.Risk and Portfolio Analytics:Deliver insights on delinquency risk, repayment patterns, user segments, and portfolio performance.Stakeholder Reporting:Prepare regular performance and risk reports for leadership to support strategic and operational decisions.Data Experimentation &amp; A/B Testing:Design experiments to evaluate policy changes, eligibility criteria, and model iterations.Support in Regulatory &amp; Audit Documentation:Assist in preparing documentation for internal reviews and external audits, covering model rationale and validation.Ad-hoc Data Analysis:Respond to on-demand data needs from cross-functional teams including product, growth, and compliance.Key Performance Indicators (KPIs)- Model Accuracy Metrics: ROC-AUC, KS Score, Gini, Precision/Recall across cohorts- Model Stability (PSI/CSI): Frequency of drift detection and retraining- Dashboard Reliability: 98% uptime and consistent data refresh cadence- Model Deployment Speed: Time from drift detection to live update- Report Timeliness: On-time delivery of weekly/monthly insights- Default Rate Deviation: Accuracy of predictions vs actuals by risk bucketRequired Qualifications- Minimum 3 years of hands-on experience in data science, preferably in fintech or lending- Strong skills in Python, SQL, Mongo, and ML libraries (e.g., scikit-learn, XGBoost, pandas)- Experience in building and monitoring production-grade models- Understanding of credit scoring, portfolio risk, and model validation metrics- Familiarity with MLOps tools, cloud platforms (AWS), and visualization tools (e.g., Metabase, Power BI)Preferred- Background in Islamic finance or financial inclusion is a plus- Experience working with behavioral or transactional data- Ability to communicate findings clearly to non-technical stakeholdersJob Type: Full-timeExperience:<ul><li>Data Scientist: 3 years (Required)</li><li>Financial Institution/ Bank: 3 years (Required)</li></ul>Work Location: In person

Data Scientist

BlizzUp Technologies

<div>
 *Apply for Data related open positions at Punjab IT Board (Lahore) using below links*
 
 
 
 *Data Architect*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-architect
 
 
 *Data Modeler*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-modeler-2
 
 
 *Senior Data Engineer*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/senior-data-engineer-10
 
 
 *Data Scientist*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/data-scientist-14
 
 
 *DevOps Engineer*
 
 https://jobs.punjab.gov.pk//new_recruit/job_detail/dev-ops-engineer-18
 
 
 
 *Deadline: 02-Nov-2025*
</div>

Data Warehouse Architect

Cloud Enterprise Business Solutions (CEBS)

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
 </li>
 <li>
 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
 </li>
 <li>
 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
 </li>
 <li>
 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
 </li>
 <li>
 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
 </li>
 <li>
 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
 </li>
 <li>
 Document models, workflows, and results following best practices for reproducibility and governance.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
 </li>
 <li>
 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
 </li>
 <li>
 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
 </li>
 <li>
 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
 </li>
 <li>
 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
 </li>
 <li>
 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
 </li>
 <li>
 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
 </li>
 </ul>
 
 
</div>

<div>
 
 
 Data Scientist
 
 
 
 We are looking for a Data Scientist to join our Data Team, focusing on driving Campaign Excellence, Retail Media insights, and Loyalty initiatives through data science and machine learning. You will play a key role in transforming complex business needs into data-driven solutions, from building end-to-end pipelines in Azure Databricks to delivering insights that enhance customer engagement and business performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with marketing, CRM, and retail media teams to translate business requirements into technical data science solutions.
 </li>
 <li>
 Design and implement end-to-end data pipelines from data ingestion, cleaning, and feature engineering to model deployment using Azure Databricks and MLflow.
 </li>
 <li>
 Develop and optimize audience segmentation and targeting models for campaign activation and personalization (e.g., behavioral clustering, propensity scoring).
 </li>
 <li>
 Build and maintain RFM and loyalty scoring models to drive customer retention, cross-sell, and upsell strategies.
 </li>
 <li>
 Communicate findings effectively to non-technical business stakeholders through storytelling, visualizations, and dashboards (e.g., Power BI).
 </li>
 <li>
 Monitor model performance, conduct A/B tests, and continuously improve campaign impact and personalization strategies.
 </li>
 <li>
 Document models, workflows, and results following best practices for reproducibility and governance.
 </li>
 </ul>
 
 
 
 
 
 Key Qualifications
 
 
 <ul>
 <li>
 3+ years of professional experience as a Data Scientist or Machine Learning Engineer.
 </li>
 <li>
 Proficiency in Python, SQL, and frameworks such as scikit-learn, pandas, and NumPy.
 </li>
 <li>
 Strong hands-on experience with Azure Databricks, PySpark, and MLflow for data processing and model lifecycle management or similar tools is a plus.
 </li>
 <li>
 Understanding of loyalty models (RFM, CLV, churn prediction) and their application in customer engagement.
 </li>
 <li>
 Proven experience in end-to-end machine learning workflows from data preparation to production deployment.
 </li>
 <li>
 Strong ability to translate business challenges into analytical solutions and explain technical results to non-technical audiences.
 </li>
 <li>
 Familiarity with Power BI or similar tools for insight visualization and stakeholder communication
 </li>
 </ul>
</div>

Jazz

<div>
 
 
 Grade Level: L3
 
 Location: Islamabad
 
 Last date to apply: 30 October 2025
 
 
 
 
 
 What is the role of Senior Data Scientist?
 
 
 
 At Jazz, you will be working closely with Jazz Business Units like Pricing, Segments, CVM designers, BI, Channel planning and Digital teams to develop cutting-edge machine learning and optimization solutions to analyze data and help them achieve their KPIs. You will also be working with external entities and help with data driven solution.
 
 
 
 What does Senior Data Scientist do?
 
 
 <ul>
 <li>
 Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
 </li>
 <li>
 Collating and cleaning data from various entities for later use by junior data scientists.
 </li>
 <li>
 Delegating tasks to Junior Data Scientists to realize the successful completion of projects.
 </li>
 <li>
 Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
 </li>
 <li>
 Selecting and employing advanced statistical procedures to obtain actionable insights.
 </li>
 <li>
 Cross-validating models to ensure their generalizability.
 </li>
 <li>
 Producing and disseminating non-technical reports that detail the successes and limitations of each project.
 </li>
 <li>
 Suggesting ways in which insights obtained might be used to inform business strategies.
 </li>
 <li>
 Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.
 
 </li>
 </ul>
 
 
 Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.
 
 
 
 
 
 Requirements
 
 
 
 
 
 What are we looking for and what does it require to be Senior Data Scientist?
 
 
 <ul>
 <li>
 5-7 years of experience in solving complex business problems using data science, statistical techniques &amp; machine learning to build predictive &amp; prescriptive solutions across the customer journey.
 </li>
 <li>
 Demonstrated experience in executing on complex projects, extracting, cleansing, and manipulating large, diverse structured and unstructured data sets on relational - SQL, NOSQL databases.
 </li>
 <li>
 Experience providing insights to support strategic decisions, including preparing and delivering insights and recommendations.
 </li>
 <li>
 3 years of experience with Python/R/SCALA, extensive knowledge, and hand-on experience in statistical programming - SAS/SPSS/MATLAB and data science toolkits - Pandas/Jupyter/SCIKIT/Tensorflow.
 </li>
 <li>
 3-4 years of experience applying machine learning solving real business and customer problems.
 </li>
 <li>
 Bachelor's or Master's degree in Computer Science, Analytics, Applied Mathematics or Statistics, Econometrics, or closely related field.
 </li>
 </ul>
 
 
 We are looking for someone who can:
 
 
 <ul>
 <li>
 Develop understanding of existing data science models
 </li>
 <li>
 Develop understanding of how CVM works at Jazz
 </li>
 <li>
 Develop understanding of BI and Analytical tools and existing data science capabilities
 </li>
 <li>
 Work alongside the data science team to understand existing data science operations
 </li>
 <li>
 Develop in-depth understanding of the data science models and respective pipelines
 </li>
 <li>
 Strive for continuous improvement in both the processes and the outcome
 </li>
 <li>
 Contribute to the development and use of data science models for campaigns
 </li>
 <li>
 Identify opportunities for improvement
 </li>
 <li>
 Become responsible for the day-to-day data science activities
 </li>
 <li>
 Complete understanding of all source systems available
 </li>
 <li>
 Launching new advanced analytical models and projects
 </li>
 <li>
 Develop, maintain, and transfer models in an open-source architecture (Python/R/Hadoop/Spark)
 </li>
 <li>
 Working closely with data engineers and business managers to create insights
 </li>
 
 
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Teknosys?
 
 
 
 At Teknosys, you will be at the forefront of
 
 &nbsp;Pakistan's digital transformation journey
 
 , shaping solutions across AI, Data, IT, and Managed Services. You'll work alongside some of the brightest minds in the industry, partner with global hyperscalers &amp; leaders, and close deals that define the future of digital in the region.
 
 
 Joining us means being part of a&nbsp;
 
 fast-scaling, innovation led business
 
 &nbsp;where your impact will directly fuel growth, customer success, and leadership.
 
</div>

Senior Data Scientist- Teknosys

RTW Creation

RTW Creation, a Hand Bags Manufacturer and E-commerce store based in Karachi, is looking for a talented &amp; motivated Data Scientist. As a Data Scientist, you will play a crucial role in analyzing and interpreting data to provide valuable insights and support data-driven decision-making across our business. You will work closely with cross-functional teams to identify trends, patterns, and opportunities for improvement.Roles and Responsibilities:<ul><li>Collect, clean, and preprocess data from various sources to create usable datasets.</li><li>Apply statistical analysis and machine learning algorithms to build predictive and prescriptive models.</li><li>Conduct data exploration and visualization to identify trends and patterns in the data.</li><li>Collaborate with business stakeholders to understand their requirements and translate them into data-driven solutions.</li><li>Develop and deploy machine learning models into production environments.</li><li>Monitor and evaluate the performance of data models and make necessary improvements.</li><li>Provide actionable insights and recommendations to improve business processes and customer experiences.</li><li>Work on data-driven projects related to sales forecasting, customer segmentation, and product recommendation.</li><li>Stay up-to-date with the latest advancements in data science and machine learning technologies.</li><li>Continuously improve data quality, data integrity, and data security practices.</li></ul>Required Qualifications:<ul><li>Bachelor's degree in Computer Science, Data Science, Statistics, or a related field.</li><li>3+ years of professional experience in a data science role or a similar position.</li><li>Proven track record of applying data science techniques to solve real-world problems.</li><li>Strong analytical and mathematical skills.</li><li>Experience with data extraction, transformation, and loading (ETL) processes.</li><li>Strong proficiency in programming languages such as Python and/or R and/or SQL.</li><li>Strong problem-solving skills and a data-driven mindset.</li><li>Familiarity with data visualization tools and libraries.</li><li>Ability to work with cross-functional teams and communicate technical concepts effectively.</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthAbility to commute/relocate:<ul><li>Karachi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Work Location: In person

Senior Data Analyst

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Senior Data Scientist- Teknosys

Senior Data Analyst